MLPs have been commonly used as a classifier. The convolutional neural
networks (CNNs) can be viewed as the cascade of two sub-networks: the
convolutional layers and the FC layers. One simple example called the
LeNet-5 [1]} is illustrated in Fig. REF .
It is convenient to have a rough breakdown of their functions as done in
[2]}. That is, the first sub-network is used to
find powerful embeddings while the second sub-network is used for
decision making. Admittedly, this anatomy is too simplistic for more
complicated networks such as ResNet [3]}, DenseNet
[4]} and Transformers [5]}.
Yet, this viewpoint is helpful in deriving the GL framework. We will
elaborate on the first and the second sub-networks in Secs.
REF  and  REF
